Case studies
Real turnarounds, and the work behind them: the operations, the commercial management, the numbers. I keep client names private, but the situations, the numbers and the method are real. Each one links through to the areas of your own business it speaks to.
The business the owner bought without knowing what he'd bought
A waste-management business, bought out of distress. Becoming the due diligence nobody did, finding half the revenue unsecured and debtors at 180 days, and turning loss-making into roughly £100k of profit in five months.
The business we did everything to save, and then advised closing
A specialist oil-and-gas fabrication business the market had moved past. Overhauling how it bid, rebuilding relationships, facing the quality gap, then giving the owner the honest advice to stop investing and close.
What happened when I actually hired AI as a new starter
Hundreds of company procedures had drifted out of date after an acquisition. Treating AI like a new starter, with a clear job, clean inputs and guardrails, surfaced the drift in a fraction of the time and cost.
The change process that ran itself
Project change control ran on two fragile spreadsheets held together by one person. Building a simple shared system so it worked the same whether that person was there or not.
What the first year after an acquisition really looks like
A year on from the deal, two businesses were still running as two. The real friction of integration, decisions nobody owned and changes never finished, and the operational work that closes the gap.
When every change hides the true position
On a hard project, every change spawned a new cost centre until nobody could see the real position. Simplifying the structure and installing a reporting rhythm to get one honest, timely read.
The honest read nobody had done
Months of senior effort had stalled on an initiative nobody could explain. Reading the document nobody had read reframed the whole thing in under four weeks and surfaced the real question.
Why the software gets shelved when the foundation is still run by hand
An expensive analytics system was delivered on time and still got shelved, because the data underneath it was run by hand. Why you fix the foundation before you automate or add AI.
What a buyer finds when nobody's checked the seller's story
A client was partway through buying a business, working off the seller's pitch and a set of accounts. Reading the public record instead found the concentration hiding inside the growth and the real trading position, before he sat down at the table.